my_awesome_qa_model

This model is a fine-tuned version of bert-base-uncased on the squad dataset. It achieves the following results on the evaluation set:

  • Loss: 3.5143

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 40
  • eval_batch_size: 40
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 100 4.7435
No log 2.0 200 4.3343
No log 3.0 300 4.0804
No log 4.0 400 3.8983
4.3932 5.0 500 3.7642
4.3932 6.0 600 3.6649
4.3932 7.0 700 3.5978
4.3932 8.0 800 3.5499
4.3932 9.0 900 3.5216
3.7318 10.0 1000 3.5143

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.1.0
  • Datasets 2.12.0
  • Tokenizers 0.13.3
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